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Found 2 papers, 1 papers with code
Debiasing Machine Learning Models by Using Weakly Supervised Learning
In our work, we then propose a bias mitigation strategy for continuous sensitive variables, based on the notion of endogeneity which comes from the field of econometrics.
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization
In dimensionality reduction problems, the adopted technique may produce disparities between the representation errors of different groups.
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